DocumentCode :
537181
Title :
The Study of a Quantification Prediction Method of Production Development Schedule Risk
Author :
Guo, Shuhang ; Hai, Mo ; Wang, Min
Author_Institution :
Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the probability distribution of project duration, a method to recognize the critical path to a project dynamically is proposed under the random change in the activity duration. Finally, examples will show that Monte Carlo simulation methods under resource constraints can assess the progress risk of Production Development effectively and support the project decision-making.
Keywords :
Monte Carlo methods; decision making; project management; resource allocation; sampling methods; scheduling; statistical distributions; Monte Carlo simulation; activity duration sampling method; probability distribution; production development schedule risk; project decision making; project duration; quantification prediction method; resource constraints; Computational modeling; Correlation; Monte Carlo methods; Production; Project management; Risk management; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5661117
Filename :
5661117
Link To Document :
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